Literature DB >> 30205209

Neural correlates of the energetic value of food during visual processing and response inhibition.

P Mengotti1, F Foroni2, R I Rumiati3.   

Abstract

Previous research showed that human brain regions involved in reward and cognitive control are responsive to visually presented food stimuli, in particular high-energy foods. However, it is still to be determined whether the preference towards high-energy foods depends on their higher energy density (kcal/gram), or is based on the difference in energy content of the food items (total amount of kcal). Here we report the results of an fMRI study in which normal-weight healthy participants processed food images during a one-back task or were required to inhibit their response towards food stimuli during a Go/No-Go task. High-energy density (HD) and low-energy density (LD) foods were matched for energy content displayed. Food-related kitchen objects (OBJ) were used as control stimuli. The lateral occipital complex and the orbitofrontal cortex showed consistent higher activity in response to HD than LD foods, both during visual processing and response inhibition. This result suggests that images of HD foods, even when the amount of food shown is not associated with a higher energy content, elicit preferential visual processing - possibly involving attentional processes - and trigger a response from the reward system. We conclude that the human brain is able to distinguish food energy densities of food items during both active visual processing and response inhibition.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Energy density; Food; Reward; Visual processing; fMRI

Mesh:

Year:  2018        PMID: 30205209     DOI: 10.1016/j.neuroimage.2018.09.017

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  6 in total

1.  Meta-analytic clustering dissociates brain activity and behavior profiles across reward processing paradigms.

Authors:  Jessica S Flannery; Michael C Riedel; Katherine L Bottenhorn; Ranjita Poudel; Taylor Salo; Lauren D Hill-Bowen; Angela R Laird; Matthew T Sutherland
Journal:  Cogn Affect Behav Neurosci       Date:  2020-04       Impact factor: 3.282

2.  A Brief Neuropsychological Battery for Measuring Cognitive Functions Associated with Obesity.

Authors:  Iris B Hovens; Jelle R Dalenberg; Dana M Small
Journal:  Obesity (Silver Spring)       Date:  2019-10-25       Impact factor: 5.002

3.  Image database of Japanese food samples with nutrition information.

Authors:  Wataru Sato; Kazusa Minemoto; Reiko Sawada; Yoshiko Miyazaki; Tohru Fushiki
Journal:  PeerJ       Date:  2020-06-17       Impact factor: 2.984

4.  Neural responsiveness to Chinese versus Western food images: An functional magnetic resonance imaging study of Chinese young adults.

Authors:  Xi Xu; Jiajia Pu; Amy Shaw; Todd Jackson
Journal:  Front Nutr       Date:  2022-08-12

5.  All Plant Breeding Technologies Are Equal, but Some Are More Equal Than Others: The Case of GM and Mutagenesis.

Authors:  Luisa Batalha; Francesco Foroni; Brian Joseph Jones
Journal:  Front Plant Sci       Date:  2021-07-02       Impact factor: 5.753

Review 6.  Brain Responses to High-Calorie Visual Food Cues in Individuals with Normal-Weight or Obesity: An Activation Likelihood Estimation Meta-Analysis.

Authors:  Yingkai Yang; Qian Wu; Filip Morys
Journal:  Brain Sci       Date:  2021-11-30
  6 in total

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